test flake8 in ci (Sourcery refactored)

[sourcery-ai[bot]]

Pull Request #14 refactored by Sourcery.

If you're happy with these changes, merge this Pull Request using the Squash and merge strategy.

NOTE: As code is pushed to the original Pull Request, Sourcery will re-run and update (force-push) this Pull Request with new refactorings as necessary. If Sourcery finds no refactorings at any point, this Pull Request will be closed automatically.

See our documentation here.

Run Sourcery locally

Reduce the feedback loop during development by using the Sourcery editor plugin:

• VS Code
• PyCharm

Review changes via command line

To manually merge these changes, make sure you're on the test_flake_8 branch, then run:

git fetch origin sourcery/test_flake_8
git merge --ff-only FETCH_HEAD
git reset HEAD^

Help us improve this pull request!

[github-actions[bot]]

👋 @sourcery-ai[bot] Thanks for creating a PR!

Until this PR is ready for review, you can include the [WIP] tag in its title, or leave it as a github draft.

Please make sure it is compliant with our contributing guidelines. In particular, be sure it checks the boxes listed below.

• [ ] PR has an interpretable title.
• [ ] PR links to Github issue with mention Closes #XXXX (see our documentation on PR structure)
• [ ] Code is PEP8-compliant (see our documentation on coding style)
• [ ] Changelog or what's new entry in doc/changes/latest.rst (see our documentation on PR structure) For new features:
• [ ] There is at least one unit test per new function / class (see our documentation on testing)
• [ ] The new feature is demoed in at least one relevant example. For bug fixes:
• [ ] There is at least one test that would fail under the original bug conditions.

We will review it as quick as possible, feel free to ping us with questions if needed.

[sourcery-ai[bot]]

Sourcery Code Quality Report

✅  Merging this PR will increase code quality in the affected files by 0.95%.

Quality metrics	Before	After	Change
Complexity	14.86 🙂	13.82 🙂	-1.04 👍
Method Length	157.83 😞	157.50 😞	-0.33 👍
Working memory	15.80 ⛔	15.80 ⛔	0.00
Quality	41.38% 😞	42.33% 😞	0.95% 👍

Other metrics	Before	After	Change
Lines	927	919	-8

Changed files	Quality Before	Quality After	Quality Change
nilearn/decoding/decoder.py	41.38% 😞	42.33% 😞	0.95% 👍

Here are some functions in these files that still need a tune-up:

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
nilearn/decoding/decoder.py	_BaseDecoder.fit	24 😞	589 ⛔	16 ⛔	20.38% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
nilearn/decoding/decoder.py	_parallel_fit	28 😞	295 ⛔	17 ⛔	20.53% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
nilearn/decoding/decoder.py	_BaseDecoder._fetch_parallel_fit_outputs	17 🙂	300 ⛔	18 ⛔	26.69% 😞	Try splitting into smaller methods. Extract out complex expressions
nilearn/decoding/decoder.py	_BaseDecoder.__init__	0 ⭐	167 😞	30 ⛔	45.69% 😞	Try splitting into smaller methods. Extract out complex expressions
nilearn/decoding/decoder.py	FREMRegressor.__init__	1 ⭐	149 😞	30 ⛔	46.50% 😞	Try splitting into smaller methods. Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

• ⭐ excellent
• 🙂 good
• 😞 poor
• ⛔ very poor

The 👍 and 👎 indicate whether the quality has improved or gotten worse with this pull request.

---

Please see our documentation here for details on how these metrics are calculated.

We are actively working on this report - lots more documentation and extra metrics to come!

Help us improve this quality report!